Fuzzy ontology representation using OWL 2
International Journal of Approximate Reasoning
Analysis of cypriot icon faces using ICA-enhanced active shape model representation
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Constructing the virtual Jing-Hang Grand Canal with onto-draw
Expert Systems with Applications: An International Journal
Aggregation operators for fuzzy ontologies
Applied Soft Computing
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The painters of Byzantine and post-Byzantine icons use specific rules and iconographic patterns. On the basis of these rules and patterns, a proposed knowledge-based image analysis system classifies icons. First, the system detects and analyzes the most important facial characteristics, providing rich, yet still imprecise, information about the icon. Then, it expresses the extracted information in terms of an expressive terminology formalized using a description logic (DL). To effectively handle the imprecision, the system uses a fuzzy extension of a DL to produce assertional knowledge. The combination of the terminological and assertional knowledge allows the system to categorize the icons. Tests of the system on a repository of 2,000 Byzantine icons has produced promising results.